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2103.01946
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Fixing Data Augmentation to Improve Adversarial Robustness
2 March 2021
Sylvestre-Alvise Rebuffi
Sven Gowal
D. A. Calian
Florian Stimberg
Olivia Wiles
Timothy A. Mann
AAML
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Papers citing
"Fixing Data Augmentation to Improve Adversarial Robustness"
50 / 185 papers shown
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265
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Diffusion-based Adversarial Purification from the Perspective of the Frequency Domain
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Ke Ma
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543
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289
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ren dongdong
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Wenbin Li
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291
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371
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Fast Adversarial Training against Sparse Attacks Requires Loss Smoothing
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Yixiao Huang
Chen Liu
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397
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International Conference on Learning Representations (ICLR), 2025
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Keping Bi
Wei Chen
Jiafeng Guo
Xueqi Cheng
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471
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25 Feb 2025
Model-Free Adversarial Purification via Coarse-To-Fine Tensor Network Representation
Guang Lin
D. Nguyen
Zerui Tao
Konstantinos Slavakis
Toshihisa Tanaka
Qibin Zhao
AAML
320
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25 Feb 2025
Improved Diffusion-based Generative Model with Better Adversarial Robustness
International Conference on Learning Representations (ICLR), 2025
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Mingyang Yi
Shuchen Xue
Zhiyu Li
Ming Liu
Bing Qin
Zhi-Ming Ma
DiffM
355
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24 Feb 2025
MOS-Attack: A Scalable Multi-objective Adversarial Attack Framework
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Ping Guo
Cheng Gong
Xi Lin
Fei Liu
Zhichao Lu
Gang Qu
Zhenkun Wang
AAML
365
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13 Jan 2025
Towards Million-Scale Adversarial Robustness Evaluation With Stronger Individual Attacks
Computer Vision and Pattern Recognition (CVPR), 2024
Yong Xie
Weijie Zheng
Hanxun Huang
Guangnan Ye
Jiabo He
AAML
647
2
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20 Nov 2024
Enhancing Adversarial Robustness via Uncertainty-Aware Distributional Adversarial Training
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Xinghua Qu
Zhiyuan Wang
Yew-Soon Ong
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270
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On the Robustness of Adversarial Training Against Uncertainty Attacks
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Emanuele Ledda
Giovanni Scodeller
Daniele Angioni
Giorgio Piras
Antonio Emanuele Cinà
Giorgio Fumera
Battista Biggio
Fabio Roli
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406
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29 Oct 2024
Low-Rank Adversarial PGD Attack
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Emanuele Zangrando
Francesco Tudisco
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267
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16 Oct 2024
DAT: Improving Adversarial Robustness via Generative Amplitude Mix-up in Frequency Domain
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Fengpeng Li
Kemou Li
Haiwei Wu
Jinyu Tian
Jiantao Zhou
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282
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16 Oct 2024
Robustness Reprogramming for Representation Learning
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Zhichao Hou
MohamadAli Torkamani
Hamid Krim
Xiaorui Liu
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394
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06 Oct 2024
Test-Time Augmentation Meets Variational Bayes
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Howard Bondell
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271
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19 Sep 2024
LoRID: Low-Rank Iterative Diffusion for Adversarial Purification
AAAI Conference on Artificial Intelligence (AAAI), 2024
Geigh Zollicoffer
Minh Vu
Ben Nebgen
Juan Castorena
Boian S. Alexandrov
Manish Bhattarai
244
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12 Sep 2024
Classifier Guidance Enhances Diffusion-based Adversarial Purification by Preserving Predictive Information
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Jianing Li
Wei Chen
Jiafeng Guo
Xueqi Cheng
260
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HO-FMN: Hyperparameter Optimization for Fast Minimum-Norm Attacks
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Giuseppe Floris
Luca Scionis
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Maura Pintor
Ambra Demontis
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Battista Biggio
Fabio Roli
AAML
320
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11 Jul 2024
Detecting Brittle Decisions for Free: Leveraging Margin Consistency in Deep Robust Classifiers
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Sabyasachi Sahoo
Y. Pequignot
Frédéric Precioso
Christian Gagné
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338
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26 Jun 2024
Large-Scale Dataset Pruning in Adversarial Training through Data Importance Extrapolation
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Thomas Altstidl
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Björn Eskofier
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374
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ZeroPur: Succinct Training-Free Adversarial Purification
Xiuli Bi
Zonglin Yang
Bo Liu
Xiaodong Cun
Chi-Man Pun
537
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05 Jun 2024
Efficient Black-box Adversarial Attacks via Bayesian Optimization Guided by a Function Prior
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Yibo Miao
Yinpeng Dong
Xiao Yang
Xiao-Shan Gao
Jun Zhu
AAML
222
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29 May 2024
PUMA: margin-based data pruning
Javier Maroto
Pascal Frossard
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245
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10 May 2024
Sparse-PGD: A Unified Framework for Sparse Adversarial Perturbations Generation
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Xuyang Zhong
Yixiao Huang
AAML
409
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08 May 2024
You Only Need Half: Boosting Data Augmentation by Using Partial Content
Juntao Hu
Yuan Wu
168
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05 May 2024
Uniformly Stable Algorithms for Adversarial Training and Beyond
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Jiancong Xiao
Jiawei Zhang
Zhimin Luo
Asuman Ozdaglar
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231
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Brain-Inspired Continual Learning-Robust Feature Distillation and Re-Consolidation for Class Incremental Learning
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276
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Towards Understanding the Robustness of Diffusion-Based Purification: A Stochastic Perspective
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Kezhao Liu
Yao Xiao
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Pengxu Wei
Liang Lin
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286
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On adversarial training and the 1 Nearest Neighbor classifier
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Yair Weiss
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278
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Felix Juefei Xu
Di Lin
Wei Feng
Lei Ma
Jianjun Zhao
251
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Adversarial Guided Diffusion Models for Adversarial Purification
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Zerui Tao
Jianhai Zhang
Toshihisa Tanaka
Qibin Zhao
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Exploring the Adversarial Frontier: Quantifying Robustness via Adversarial Hypervolume
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